Value based healthcare

过度诊断 心理干预 计算机科学 价值(数学) 人口 医疗保健 业务 医学 精算学 护理部 经济增长 经济 环境卫生 机器学习 病理
作者
Muir Gray
出处
期刊: 卷期号:356: j437-j437 被引量:160
标识
DOI:10.1136/bmj.j437
摘要

Reducing unwarranted variation to maximise the value of healthcare for populations How can the gap between need and demand on the one hand and resources on the other be closed or even narrowed? Since the global financial collapse most countries have reduced or reversed annual increases in the resources invested in health services, creating a big problem for those who pay for or manage health services, many of whom are also clinicians. The techniques that have been developed over the past 20 years include evidence based decision making (to ensure that only interventions with strong evidence of cost effectiveness are used), quality improvement (to improve outcomes), and cost reduction. These are all necessary but not sufficient. A new approach is emerging called value based healthcare, which aims to increase the value that is derived from the resources available for a population. The Choosing Wisely campaign, led in the United Kingdom by the Academy of Medical Royal Colleges, has identified many interventions that could be substantially reduced without adverse effects on the population.1 The BMJ ’s leadership on overdiagnosis and “too much medicine” focuses more on the trend to overuse interventions that …
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